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STTR Phase I: Development of Aptamer-ssDNA Intelligent Hydrogel Materials for…

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
91249
Program Year/Program:
2009 / STTR
Agency Tracking Number:
0932661
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
SenMater Technology
3743 W Providence Dr. Fayetteville, AR 72704 6245
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: Yes
 
Phase 1
Fiscal Year: 2009
Title: STTR Phase I: Development of Aptamer-ssDNA Intelligent Hydrogel Materials for Magnetoelastic Detection of Avian Influenza Virus
Agency: NSF
Contract: 0932661
Award Amount: $150,000.00
 

Abstract:

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). This Small Business Technology Transfer (STTR) Phase I project is to synthesize an intelligent polymer hydrogel, and to develop a wireless, remote and sensitive magnetoelastic sensor for rapid detection of avian influenza (AI) virus. The highly pathogenic AI strain H5N1 virus has caused hundreds of human deaths and billion dollars of economic loss per year. High sensitive techniques for early identification and eradication of AI viruses are urgently needed. The proposed smart material is expected to shrink and swell in the absence and presence of AI virus due to the crosslinking between single stranded DNA and aptamers and dissolution of the linkage in the polymer network. The shrinking and swelling of the hydrogel upon AI virus could be sensitively monitored with a wireless magnetoelastic mass-based sensor platform. The broader impacts of this research are on the development of new biosensing materials for rapid diagnostics in the fields of biology, agriculture, medicine and environment. It will open a new way to synthesize virus-responsive materials by introducing ssDNA and aptamers into polymer structures. Moreover, the proposed project is to improve influenza diagnostic technologies and to prevent avian influenza from spread between flocks or into the human population. The successful outcome of this research should provide direct economic benefits to poultry and food industries, promote diagnostic technologies, and improve human health. This proposed method has the potential to provide a rapid, low-cost, high sensitive and reliable solution for identification and detection of avian influenza as well as human and swine influenza.

Principal Investigator:

Chuanmin Ruan
PhD
4795756101
cruan@senmater.com

Business Contact:

Chuanmin Ruan
PhD
4795756101
cruan@senmater.com
Small Business Information at Submission:

SenMater Technology
3743 W Providence Dr. Fayetteville, AR 72704

EIN/Tax ID: 263703563
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
University of Arkansas
120 Ozark Hall
Fayetteville, AR 72701 1201
Contact: Rosemary Ruff
RI Type: Nonprofit college or university